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Decomposition analysis of patenting in renewable energy technologies: From an extended LMDI approach perspective based on three Five-Year Plan periods in China

机译:可再生能源技术专利的分解分析:基于延长LMDI方法视角基于中国三个五年计划

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摘要

Renewable energy technological innovation is greatly influenced by renewable energy markets and policies. In this regard, the paper decomposes nine influencing factors of patents of a specific renewable energy technology using the extended logarithmic mean Divisia index (LMDI) method from 2001 to 2015. The differences in a specific renewable energy technological innovation and development during the three Five-Year Plan periods is prioritized at the national level. The contribution of the increase in patents of renewable energy technologies mainly lies in the patents of solar energy technology and wind energy technology, but during the 12th Five-year Plan period, the increments of their patent counts significantly decline. Due to priority given to the development of innovation in a specific renewable energy technology, the improvement in the efficiency of R&D spending, the increases in the share of R&D spending and the share of renewable energy, low carbon economy concept advocacy and carbon scale expansion, the patent counts of a specific renewable energy technology will increase. Additionally, the factors affecting innovation in a specific renewable energy technology at the different economic development levels, as well as different resource distribution levels are investigated. (C) 2020 Elsevier Ltd. All rights reserved.
机译:可再生能源技术创新受可再生能源市场和政策的影响。在这方面,纸张使用2001年至2015年的延长对数平均Divisia指数(LMDI)方法分解了特定可再生能源技术专利专利的九种影响因素。三个五五年的特定可再生能源技术创新与发展的差异年计划期限在国家一级优先考虑。可再生能源技术专利增加的贡献主要是太阳能技术和风能技术专利,但在12日五年计划期间,其专利计数的增量显着下降。由于优先考虑到创新在特定可再生能源技术方面的发展,改善研发支出的效率,研发支出份额的增加和可再生能源的份额,低碳经济概念宣传和碳规模扩张,特定可再生能源技术的专利计数将增加。此外,研究了影响不同经济发展水平的特定可再生能源技术的创新的因素,以及不同的资源分布水平。 (c)2020 elestvier有限公司保留所有权利。

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